

When Biased AI is Good
Aug 1, 2024
David Danks, a professor of data science and philosophy at UCSD, challenges the conventional wisdom about biased AI. He argues that in certain scenarios, biased algorithms can yield positive outcomes when managed effectively. The conversation explores the ethical complexities of AI bias, especially in areas like hiring and judicial decision-making. Danks emphasizes the need for a nuanced approach to AI, suggesting that collaboration between data scientists and ethicists is crucial for developing fairer systems while maintaining human oversight.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7
Intro
00:00 • 2min
Navigating AI Bias and Ethics
01:42 • 20min
Bias in AI and Judicial Decision-Making
22:04 • 6min
The Ethics of Decision-Making: Human Responsibility vs. Machine Outsourcing
28:10 • 2min
Ethics of Algorithmic Bias
30:10 • 13min
The Role of Education in AI Ethics and Governance
42:43 • 3min
Acknowledging the Team Behind the Podcast
45:15 • 2min